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DBMS > AgensGraph vs. Hawkular Metrics vs. Oracle Berkeley DB vs. SiteWhere vs. TimescaleDB

System Properties Comparison AgensGraph vs. Hawkular Metrics vs. Oracle Berkeley DB vs. SiteWhere vs. TimescaleDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Widely used in-process key-value storeM2M integration platform for persisting/querying time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitebitnine.net/­agensgraphwww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­sitewhere/­sitewherewww.timescale.com
Technical documentationbitnine.net/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsitewhere1.sitewhere.io/­index.htmldocs.timescale.com
DeveloperBitnine Global Inc.Community supported by Red HatOracle infooriginally developed by Sleepycat, which was acquired by OracleSiteWhereTimescale
Initial release20162014199420102017
Current release2.1, December 201818.1.40, May 20202.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infocommercial license availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, Java, C++ (depending on the Berkeley DB edition)JavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemedepending on used data modelschema-freeschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infoonly with the Berkeley DB XML editionnoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoyes infoSQL interfaced based on SQLite is availablenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsCypher Query Language
JDBC
HTTP RESTHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
Go
Java
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia Hawkular Alertingyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infobased on CassandranoneSharding infobased on HBaseyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraSource-replica replicationselectable replication factor infobased on HBaseSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
AgensGraphHawkular MetricsOracle Berkeley DBSiteWhereTimescaleDB
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